Pandas Profiling Report

Dataset statistics

Number of variables	17
Number of observations	46651
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	6.1 MiB
Average record size in memory	136.0 B

Variable types

Categorical	7
Numeric	10

Alerts

`TimeStamp` is highly correlated with `GazePointY`	High correlation
`GazePointXLeft` is highly correlated with `ValidityLeft` and 3 other fields	High correlation
`GazePointYLeft` is highly correlated with `ValidityLeft` and 3 other fields	High correlation
`ValidityLeft` is highly correlated with `GazePointXLeft` and 5 other fields	High correlation
`GazePointXRight` is highly correlated with `GazePointXLeft` and 3 other fields	High correlation
`GazePointYRight` is highly correlated with `GazePointYLeft` and 3 other fields	High correlation
`ValidityRight` is highly correlated with `ValidityLeft` and 5 other fields	High correlation
`GazePointX` is highly correlated with `GazePointXLeft` and 1 other fields	High correlation
`GazePointY` is highly correlated with `TimeStamp` and 2 other fields	High correlation
`PupilSizeLeft` is highly correlated with `ValidityLeft` and 2 other fields	High correlation
`PupilValidityLeft` is highly correlated with `GazePointXLeft` and 5 other fields	High correlation
`PupilSizeRight` is highly correlated with `ValidityRight` and 2 other fields	High correlation
`PupilValidityRight` is highly correlated with `ValidityLeft` and 5 other fields	High correlation
`TimeStamp` is highly correlated with `GazePointY`	High correlation
`GazePointXLeft` is highly correlated with `ValidityLeft` and 4 other fields	High correlation
`GazePointYLeft` is highly correlated with `ValidityLeft` and 4 other fields	High correlation
`ValidityLeft` is highly correlated with `GazePointXLeft` and 6 other fields	High correlation
`GazePointXRight` is highly correlated with `GazePointXLeft` and 4 other fields	High correlation
`GazePointYRight` is highly correlated with `GazePointYLeft` and 4 other fields	High correlation
`ValidityRight` is highly correlated with `ValidityLeft` and 6 other fields	High correlation
`GazePointX` is highly correlated with `GazePointXLeft` and 1 other fields	High correlation
`GazePointY` is highly correlated with `TimeStamp` and 2 other fields	High correlation
`PupilSizeLeft` is highly correlated with `GazePointXLeft` and 6 other fields	High correlation
`PupilValidityLeft` is highly correlated with `GazePointXLeft` and 6 other fields	High correlation
`PupilSizeRight` is highly correlated with `ValidityLeft` and 6 other fields	High correlation
`PupilValidityRight` is highly correlated with `ValidityLeft` and 6 other fields	High correlation
`GazePointXLeft` is highly correlated with `ValidityLeft` and 3 other fields	High correlation
`GazePointYLeft` is highly correlated with `ValidityLeft` and 3 other fields	High correlation
`ValidityLeft` is highly correlated with `GazePointXLeft` and 5 other fields	High correlation
`GazePointXRight` is highly correlated with `GazePointXLeft` and 3 other fields	High correlation
`GazePointYRight` is highly correlated with `GazePointYLeft` and 3 other fields	High correlation
`ValidityRight` is highly correlated with `ValidityLeft` and 5 other fields	High correlation
`GazePointX` is highly correlated with `GazePointXLeft` and 1 other fields	High correlation
`GazePointY` is highly correlated with `GazePointYLeft` and 1 other fields	High correlation
`PupilSizeLeft` is highly correlated with `ValidityLeft` and 2 other fields	High correlation
`PupilValidityLeft` is highly correlated with `GazePointXLeft` and 5 other fields	High correlation
`PupilSizeRight` is highly correlated with `ValidityRight` and 2 other fields	High correlation
`PupilValidityRight` is highly correlated with `ValidityLeft` and 5 other fields	High correlation
`PupilValidityRight` is highly correlated with `ValidityLeft` and 2 other fields	High correlation
`diagnosis` is highly correlated with `class` and 1 other fields	High correlation
`class` is highly correlated with `diagnosis` and 1 other fields	High correlation
`ValidityLeft` is highly correlated with `PupilValidityRight` and 2 other fields	High correlation
`id` is highly correlated with `diagnosis` and 1 other fields	High correlation
`ValidityRight` is highly correlated with `PupilValidityRight` and 2 other fields	High correlation
`PupilValidityLeft` is highly correlated with `PupilValidityRight` and 2 other fields	High correlation
`id` is highly correlated with `Age` and 6 other fields	High correlation
`TimeStamp` is highly correlated with `GazePointYLeft` and 2 other fields	High correlation
`Age` is highly correlated with `id` and 2 other fields	High correlation
`GazePointXLeft` is highly correlated with `GazePointYLeft` and 5 other fields	High correlation
`GazePointYLeft` is highly correlated with `TimeStamp` and 9 other fields	High correlation
`ValidityLeft` is highly correlated with `GazePointXLeft` and 10 other fields	High correlation
`GazePointXRight` is highly correlated with `GazePointXLeft` and 8 other fields	High correlation
`GazePointYRight` is highly correlated with `TimeStamp` and 8 other fields	High correlation
`ValidityRight` is highly correlated with `id` and 10 other fields	High correlation
`GazePointX` is highly correlated with `GazePointXLeft` and 7 other fields	High correlation
`GazePointY` is highly correlated with `TimeStamp` and 7 other fields	High correlation
`PupilSizeLeft` is highly correlated with `id` and 7 other fields	High correlation
`PupilValidityLeft` is highly correlated with `GazePointXLeft` and 10 other fields	High correlation
`PupilSizeRight` is highly correlated with `id` and 8 other fields	High correlation
`PupilValidityRight` is highly correlated with `id` and 10 other fields	High correlation
`class` is highly correlated with `id` and 2 other fields	High correlation
`diagnosis` is highly correlated with `id` and 2 other fields	High correlation

Reproduction

Analysis started	2022-06-04 06:12:48.423709
Analysis finished	2022-06-04 06:13:08.308101
Duration	19.88 seconds
Software version	pandas-profiling v3.1.0
Download configuration	config.json

id
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	25
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	364.6 KiB

9-2	2113
9-1	2094
4-2	2063
2-2	2057
1-2	2030
Other values (20)	36294

Length

Max length	4
Median length	3
Mean length	3.285117146
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1-1
2nd row	1-1
3rd row	1-1
4th row	1-1
5th row	1-1

Common Values

Value	Count	Frequency (%)
9-2	2113	4.5%
9-1	2094	4.5%
4-2	2063	4.4%
2-2	2057	4.4%
1-2	2030	4.4%
4-1	2016	4.3%
2-1	1993	4.3%
1-1	1985	4.3%
12-3	1955	4.2%
10-2	1949	4.2%
Other values (15)	26396	56.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
9-2	2113	4.5%
9-1	2094	4.5%
4-2	2063	4.4%
2-2	2057	4.4%
1-2	2030	4.4%
4-1	2016	4.3%
2-1	1993	4.3%
1-1	1985	4.3%
12-3	1955	4.2%
10-2	1949	4.2%
Other values (15)	26396	56.6%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

TimeStamp
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	46620
Distinct (%)	99.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	27202.04959

Minimum	142.02
Maximum	54521.708
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	364.6 KiB

Quantile statistics

Minimum	142.02
5-th percentile	2774.2455
Q1	13681.465
median	27261.161
Q3	40658.198
95-th percentile	51694.417
Maximum	54521.708
Range	54379.688
Interquartile range (IQR)	26976.733

Descriptive statistics

Standard deviation	15631.74659
Coefficient of variation (CV)	0.574653264
Kurtosis	-1.190021689
Mean	27202.04959
Median Absolute Deviation (MAD)	13486.862
Skewness	0.0003255177304
Sum	1269002816
Variance	244351501.4
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
41938.821	2	< 0.1%
20032.234	2	< 0.1%
48628.304	2	< 0.1%
49324.235	2	< 0.1%
4838.66	2	< 0.1%
30166.288	2	< 0.1%
2434.148	2	< 0.1%
48350.271	2	< 0.1%
31721.078	2	< 0.1%
13112.473	2	< 0.1%
Other values (46610)	46631	> 99.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
142.02	1	< 0.1%
155.745	1	< 0.1%
176.768	1	< 0.1%
191.889	1	< 0.1%
196.954	1	< 0.1%
199.396	1	< 0.1%
208.176	1	< 0.1%
208.342	1	< 0.1%
208.769	1	< 0.1%
208.818	1	< 0.1%

Value	Count	Frequency (%)
54521.708	1	< 0.1%
54518.365	1	< 0.1%
54517.802	1	< 0.1%
54516.154	1	< 0.1%
54509.853	1	< 0.1%
54509.391	1	< 0.1%
54507.426	1	< 0.1%
54505.769	1	< 0.1%
54504.978	1	< 0.1%
54503.602	1	< 0.1%

Age
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	11
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	52.28886841

Minimum	17
Maximum	72
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	364.6 KiB

Quantile statistics

Minimum	17
5-th percentile	17
Q1	45
median	50
Q3	69
95-th percentile	72
Maximum	72
Range	55
Interquartile range (IQR)	24

Descriptive statistics

Standard deviation	16.84613123
Coefficient of variation (CV)	0.3221743316
Kurtosis	-0.1741097958
Mean	52.28886841
Median Absolute Deviation (MAD)	7
Skewness	-0.72350509
Sum	2439328
Variance	283.7921374
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=11)

Value	Count	Frequency (%)
72	8076	17.3%
17	5697	12.2%
45	4079	8.7%
43	4050	8.7%
56	4015	8.6%
48	3856	8.3%
65	3773	8.1%
69	3749	8.0%
50	3735	8.0%
46	3615	7.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
17	5697	12.2%
43	4050	8.7%
45	4079	8.7%
46	3615	7.7%
48	3856	8.3%
50	3735	8.0%
56	4015	8.6%
65	3773	8.1%
68	2006	4.3%
69	3749	8.0%

Value	Count	Frequency (%)
72	8076	17.3%
69	3749	8.0%
68	2006	4.3%
65	3773	8.1%
56	4015	8.6%
50	3735	8.0%
48	3856	8.3%
46	3615	7.7%
45	4079	8.7%
43	4050	8.7%

GazePointXLeft
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2059
Distinct (%)	4.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	719.8776875

Minimum	-1299
Maximum	2641
Zeros	0
Zeros (%)	0.0%
Negative	9213
Negative (%)	19.7%
Memory size	364.6 KiB

Quantile statistics

Minimum	-1299
5-th percentile	-1
Q1	210
median	694
Q3	1176
95-th percentile	1634
Maximum	2641
Range	3940
Interquartile range (IQR)	966

Descriptive statistics

Standard deviation	554.2085776
Coefficient of variation (CV)	0.769864919
Kurtosis	-1.183030522
Mean	719.8776875
Median Absolute Deviation (MAD)	483
Skewness	0.1817716833
Sum	33583014
Variance	307147.1475
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-1	8939	19.2%
621	42	0.1%
1171	40	0.1%
726	40	0.1%
454	40	0.1%
1129	40	0.1%
930	39	0.1%
373	39	0.1%
526	39	0.1%
437	39	0.1%
Other values (2049)	37354	80.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-1299	1	< 0.1%
-577	1	< 0.1%
-559	1	< 0.1%
-486	1	< 0.1%
-476	1	< 0.1%
-472	1	< 0.1%
-471	1	< 0.1%
-459	1	< 0.1%
-453	1	< 0.1%
-444	1	< 0.1%

Value	Count	Frequency (%)
2641	1	< 0.1%
2539	1	< 0.1%
2523	1	< 0.1%
2312	1	< 0.1%
2087	1	< 0.1%
2076	1	< 0.1%
2035	1	< 0.1%
2032	1	< 0.1%
2022	1	< 0.1%
1998	1	< 0.1%

GazePointYLeft
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	1246
Distinct (%)	2.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	385.0036226

Minimum	-1006
Maximum	1749
Zeros	1
Zeros (%)	< 0.1%
Negative	9069
Negative (%)	19.4%
Memory size	364.6 KiB

Quantile statistics

Minimum	-1006
5-th percentile	-1
Q1	130
median	386
Q3	589
95-th percentile	870
Maximum	1749
Range	2755
Interquartile range (IQR)	459

Descriptive statistics

Standard deviation	289.2443707
Coefficient of variation (CV)	0.7512770107
Kurtosis	-0.9157462401
Mean	385.0036226
Median Absolute Deviation (MAD)	235
Skewness	0.2022064045
Sum	17960804
Variance	83662.30599
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-1	8939	19.2%
476	100	0.2%
471	96	0.2%
485	90	0.2%
489	88	0.2%
479	87	0.2%
474	85	0.2%
482	85	0.2%
312	84	0.2%
560	83	0.2%
Other values (1236)	36914	79.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-1006	1	< 0.1%
-729	1	< 0.1%
-706	1	< 0.1%
-667	1	< 0.1%
-660	1	< 0.1%
-621	1	< 0.1%
-506	1	< 0.1%
-474	1	< 0.1%
-473	1	< 0.1%
-456	1	< 0.1%

Value	Count	Frequency (%)
1749	1	< 0.1%
1492	1	< 0.1%
1436	1	< 0.1%
1367	1	< 0.1%
1364	1	< 0.1%
1362	1	< 0.1%
1361	1	< 0.1%
1359	1	< 0.1%
1357	1	< 0.1%
1355	1	< 0.1%

ValidityLeft
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	364.6 KiB

1	37713
0	8938

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	1
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
1	37713	80.8%
0	8938	19.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	37713	80.8%
0	8938	19.2%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

GazePointXRight
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2009
Distinct (%)	4.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	739.7571328

Minimum	-592
Maximum	2560
Zeros	0
Zeros (%)	0.0%
Negative	6932
Negative (%)	14.9%
Memory size	364.6 KiB

Quantile statistics

Minimum	-592
5-th percentile	-1
Q1	306
median	708
Q3	1151
95-th percentile	1613
Maximum	2560
Range	3152
Interquartile range (IQR)	845

Descriptive statistics

Standard deviation	522.0729168
Coefficient of variation (CV)	0.7057355633
Kurtosis	-1.057256214
Mean	739.7571328
Median Absolute Deviation (MAD)	425
Skewness	0.1760175269
Sum	34510410
Variance	272560.1304
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-1	6787	14.5%
527	50	0.1%
519	46	0.1%
511	45	0.1%
955	45	0.1%
448	45	0.1%
530	45	0.1%
532	45	0.1%
717	44	0.1%
357	43	0.1%
Other values (1999)	39456	84.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-592	1	< 0.1%
-462	1	< 0.1%
-448	1	< 0.1%
-447	1	< 0.1%
-245	1	< 0.1%
-236	1	< 0.1%
-232	1	< 0.1%
-228	1	< 0.1%
-219	1	< 0.1%
-215	1	< 0.1%

Value	Count	Frequency (%)
2560	1	< 0.1%
2406	1	< 0.1%
2346	1	< 0.1%
2267	1	< 0.1%
2254	1	< 0.1%
2137	1	< 0.1%
2077	1	< 0.1%
2074	1	< 0.1%
2043	1	< 0.1%
2019	1	< 0.1%

GazePointYRight
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	1204
Distinct (%)	2.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	401.0919166

Minimum	-805
Maximum	1613
Zeros	5
Zeros (%)	< 0.1%
Negative	6916
Negative (%)	14.8%
Memory size	364.6 KiB

Quantile statistics

Minimum	-805
5-th percentile	-1
Q1	168
median	403
Q3	596
95-th percentile	858
Maximum	1613
Range	2418
Interquartile range (IQR)	428

Descriptive statistics

Standard deviation	277.5437254
Coefficient of variation (CV)	0.6919703788
Kurtosis	-0.8955670648
Mean	401.0919166
Median Absolute Deviation (MAD)	217
Skewness	0.1359666544
Sum	18711339
Variance	77030.51953
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-1	6790	14.6%
492	90	0.2%
485	88	0.2%
493	87	0.2%
500	85	0.2%
494	85	0.2%
481	84	0.2%
486	84	0.2%
527	84	0.2%
488	84	0.2%
Other values (1194)	39090	83.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-805	1	< 0.1%
-743	1	< 0.1%
-733	1	< 0.1%
-713	1	< 0.1%
-687	1	< 0.1%
-682	1	< 0.1%
-674	1	< 0.1%
-635	1	< 0.1%
-362	1	< 0.1%
-340	1	< 0.1%

Value	Count	Frequency (%)
1613	1	< 0.1%
1392	1	< 0.1%
1375	1	< 0.1%
1361	1	< 0.1%
1360	1	< 0.1%
1345	1	< 0.1%
1308	1	< 0.1%
1286	1	< 0.1%
1238	1	< 0.1%
1217	1	< 0.1%

ValidityRight
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	364.6 KiB

1	39865
0	6786

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	1
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
1	39865	85.5%
0	6786	14.5%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	39865	85.5%
0	6786	14.5%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

GazePointX
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2021
Distinct (%)	4.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	773.4971812

Minimum	-1299
Maximum	2312
Zeros	0
Zeros (%)	0.0%
Negative	5688
Negative (%)	12.2%
Memory size	364.6 KiB

Quantile statistics

Minimum	-1299
5-th percentile	-1
Q1	344
median	749
Q3	1190
95-th percentile	1631
Maximum	2312
Range	3611
Interquartile range (IQR)	846

Descriptive statistics

Standard deviation	522.3069377
Coefficient of variation (CV)	0.6752538346
Kurtosis	-1.086847233
Mean	773.4971812
Median Absolute Deviation (MAD)	424
Skewness	0.1160302006
Sum	36084417
Variance	272804.5372
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-1	5441	11.7%
918	48	0.1%
730	46	0.1%
1099	46	0.1%
1267	45	0.1%
527	45	0.1%
529	45	0.1%
470	44	0.1%
380	43	0.1%
449	43	0.1%
Other values (2011)	40805	87.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-1299	1	< 0.1%
-592	1	< 0.1%
-462	1	< 0.1%
-448	1	< 0.1%
-447	1	< 0.1%
-341	1	< 0.1%
-331	1	< 0.1%
-322	1	< 0.1%
-304	1	< 0.1%
-300	1	< 0.1%

Value	Count	Frequency (%)
2312	1	< 0.1%
2149	1	< 0.1%
2087	1	< 0.1%
2085	1	< 0.1%
1977	1	< 0.1%
1976	1	< 0.1%
1975	1	< 0.1%
1956	1	< 0.1%
1955	1	< 0.1%
1951	1	< 0.1%

GazePointY
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	1213
Distinct (%)	2.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	418.9040321

Minimum	-706
Maximum	1613
Zeros	6
Zeros (%)	< 0.1%
Negative	5536
Negative (%)	11.9%
Memory size	364.6 KiB

Quantile statistics

Minimum	-706
5-th percentile	-1
Q1	201
median	420
Q3	619
95-th percentile	861
Maximum	1613
Range	2319
Interquartile range (IQR)	418

Descriptive statistics

Standard deviation	273.1034459
Coefficient of variation (CV)	0.6519475226
Kurtosis	-0.8530214381
Mean	418.9040321
Median Absolute Deviation (MAD)	212
Skewness	0.08911208844
Sum	19542292
Variance	74585.49216
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-1	5441	11.7%
483	105	0.2%
494	100	0.2%
501	99	0.2%
490	98	0.2%
481	98	0.2%
554	96	0.2%
488	96	0.2%
482	96	0.2%
315	95	0.2%
Other values (1203)	40327	86.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-706	1	< 0.1%
-619	1	< 0.1%
-571	1	< 0.1%
-568	1	< 0.1%
-564	1	< 0.1%
-562	1	< 0.1%
-540	1	< 0.1%
-539	1	< 0.1%
-528	1	< 0.1%
-474	1	< 0.1%

Value	Count	Frequency (%)
1613	1	< 0.1%
1492	1	< 0.1%
1436	1	< 0.1%
1361	1	< 0.1%
1359	1	< 0.1%
1357	1	< 0.1%
1345	1	< 0.1%
1344	1	< 0.1%
1325	1	< 0.1%
1322	1	< 0.1%

PupilSizeLeft
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	12536
Distinct (%)	26.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.636041487

Minimum	-1
Maximum	5.4947
Zeros	0
Zeros (%)	0.0%
Negative	8938
Negative (%)	19.2%
Memory size	364.6 KiB

Quantile statistics

Minimum	-1
5-th percentile	-1
Q1	1.6745
median	2.1457
Q3	2.4213
95-th percentile	2.8042
Maximum	5.4947
Range	6.4947
Interquartile range (IQR)	0.7468

Descriptive statistics

Standard deviation	1.320657414
Coefficient of variation (CV)	0.8072273381
Kurtosis	0.171023376
Mean	1.636041487
Median Absolute Deviation (MAD)	0.3424
Skewness	-1.357704961
Sum	76322.9714
Variance	1.744136006
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-1	8938	19.2%
2.1987	16	< 0.1%
2.1656	13	< 0.1%
2.2316	13	< 0.1%
2.0578	13	< 0.1%
2.2513	13	< 0.1%
2.373	13	< 0.1%
2.1124	13	< 0.1%
2.1214	13	< 0.1%
2.1691	12	< 0.1%
Other values (12526)	37594	80.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-1	8938	19.2%
1.2173	1	< 0.1%
1.2748	1	< 0.1%
1.2903	1	< 0.1%
1.3034	1	< 0.1%
1.3079	1	< 0.1%
1.3195	1	< 0.1%
1.325	1	< 0.1%
1.3374	1	< 0.1%
1.3501	1	< 0.1%

Value	Count	Frequency (%)
5.4947	1	< 0.1%
5.1741	1	< 0.1%
4.4963	1	< 0.1%
4.3258	1	< 0.1%
4.1807	1	< 0.1%
4.1045	1	< 0.1%
4.048	1	< 0.1%
4.0316	1	< 0.1%
3.8505	1	< 0.1%
3.7453	1	< 0.1%

PupilValidityLeft
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	364.6 KiB

1	37713
0	8938

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	1
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
1	37713	80.8%
0	8938	19.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	37713	80.8%
0	8938	19.2%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

PupilSizeRight
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	13129
Distinct (%)	28.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.852582586

Minimum	-1
Maximum	4.71
Zeros	0
Zeros (%)	0.0%
Negative	6786
Negative (%)	14.5%
Memory size	364.6 KiB

Quantile statistics

Minimum	-1
5-th percentile	-1
Q1	1.90665
median	2.2934
Q3	2.5125
95-th percentile	2.8813
Maximum	4.71
Range	5.71
Interquartile range (IQR)	0.60585

Descriptive statistics

Standard deviation	1.22088025
Coefficient of variation (CV)	0.6590152901
Kurtosis	1.440268032
Mean	1.852582586
Median Absolute Deviation (MAD)	0.2746
Skewness	-1.71935409
Sum	86424.8302
Variance	1.490548585
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-1	6786	14.5%
2.3336	15	< 0.1%
2.3376	15	< 0.1%
2.3969	15	< 0.1%
2.3172	14	< 0.1%
2.2816	14	< 0.1%
2.3546	14	< 0.1%
2.2946	13	< 0.1%
2.3372	13	< 0.1%
2.3519	13	< 0.1%
Other values (13119)	39739	85.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-1	6786	14.5%
1.0327	1	< 0.1%
1.0399	1	< 0.1%
1.0643	1	< 0.1%
1.0817	1	< 0.1%
1.0848	1	< 0.1%
1.1077	1	< 0.1%
1.1088	1	< 0.1%
1.1277	1	< 0.1%
1.1398	1	< 0.1%

Value	Count	Frequency (%)
4.71	1	< 0.1%
4.4827	1	< 0.1%
4.3879	1	< 0.1%
4.3706	1	< 0.1%
4.3449	1	< 0.1%
4.2838	1	< 0.1%
4.2546	1	< 0.1%
4.215	1	< 0.1%
4.1757	1	< 0.1%
4.1276	1	< 0.1%

PupilValidityRight
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	364.6 KiB

1	39865
0	6786

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	1
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
1	39865	85.5%
0	6786	14.5%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	39865	85.5%
0	6786	14.5%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

class
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	364.6 KiB

Estudio	31207
Control	15444

Length

Max length	7
Median length	7
Mean length	7
Min length	7

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Control
2nd row	Control
3rd row	Control
4th row	Control
5th row	Control

Common Values

Value	Count	Frequency (%)
Estudio	31207	66.9%
Control	15444	33.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
estudio	31207	66.9%
control	15444	33.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

diagnosis
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	364.6 KiB

ACV	17604
Control	15444
TCE	13603

Length

Max length	7
Median length	3
Mean length	4.324215987
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Control
2nd row	Control
3rd row	Control
4th row	Control
5th row	Control

Common Values

Value	Count	Frequency (%)
ACV	17604	37.7%
Control	15444	33.1%
TCE	13603	29.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
acv	17604	37.7%
control	15444	33.1%
tce	13603	29.2%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows

	id	TimeStamp	Age	GazePointXLeft	GazePointYLeft	ValidityLeft	GazePointXRight	GazePointYRight	ValidityRight	GazePointX	GazePointY	PupilSizeLeft	PupilValidityLeft	PupilSizeRight	PupilValidityRight	class	diagnosis
0	1-1	688.374	56	-1	-1	0	-1	-1	0	-1	-1	-1.0000	0	-1.0000	0	Control	Control
1	1-1	688.842	56	-1	-1	0	-1	-1	0	-1	-1	-1.0000	0	-1.0000	0	Control	Control
2	1-1	704.487	56	875	549	1	771	284	1	823	416	2.1565	1	2.1575	1	Control	Control
3	1-1	723.029	56	-1	-1	0	-1	-1	0	-1	-1	-1.0000	0	-1.0000	0	Control	Control
4	1-1	750.040	56	879	519	1	796	245	1	838	382	2.0449	1	2.1528	1	Control	Control
5	1-1	776.032	56	898	547	1	785	316	1	842	431	2.1199	1	2.1833	1	Control	Control
6	1-1	803.488	56	888	525	1	-1	-1	0	888	525	2.0767	1	-1.0000	0	Control	Control
7	1-1	831.135	56	882	563	1	768	322	1	825	442	2.1039	1	2.3215	1	Control	Control
8	1-1	857.075	56	879	513	1	789	362	1	834	437	2.0490	1	2.4636	1	Control	Control
9	1-1	883.205	56	915	507	1	796	301	1	856	404	2.0619	1	2.2628	1	Control	Control

Last rows

	id	TimeStamp	Age	GazePointXLeft	GazePointYLeft	ValidityLeft	GazePointXRight	GazePointYRight	ValidityRight	GazePointX	GazePointY	PupilSizeLeft	PupilValidityLeft	PupilSizeRight	PupilValidityRight	class	diagnosis
46641	12-3	54254.100	17	216	896	1	231	881	1	224	888	2.2034	1	2.2695	1	Estudio	TCE
46642	12-3	54354.657	17	290	931	1	184	844	1	237	887	2.3556	1	2.1265	1	Estudio	TCE
46643	12-3	54355.144	17	229	943	1	182	841	1	206	892	2.2291	1	2.2458	1	Estudio	TCE
46644	12-3	54355.581	17	193	911	1	191	881	1	192	896	2.3103	1	2.2494	1	Estudio	TCE
46645	12-3	54356.046	17	117	931	1	159	849	1	138	890	2.5807	1	2.2022	1	Estudio	TCE
46646	12-3	54379.209	17	162	808	1	263	944	1	213	876	2.6453	1	2.4885	1	Estudio	TCE
46647	12-3	54406.850	17	136	816	1	272	969	1	204	892	2.6189	1	2.4906	1	Estudio	TCE
46648	12-3	54433.946	17	122	942	1	191	854	1	157	898	2.5684	1	2.2774	1	Estudio	TCE
46649	12-3	54460.926	17	326	918	1	364	936	1	345	927	2.3562	1	2.6705	1	Estudio	TCE
46650	12-3	54487.080	17	354	938	1	363	988	1	359	963	2.2507	1	2.5588	1	Estudio	TCE

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Interactions

Correlations

Spearman's ρ

Pearson's r

Kendall's τ

Cramér's V (φc)

Phik (φk)

Missing values

Sample